<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>32430</id>
    <completedYear/>
    <publishedYear>2014</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>105</pageFirst>
    <pageLast>117</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpartcollection</type>
    <publisherName>Springer</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Application of the inertial navigation system 3D-self-calibration-method for the minimization of the measurement uncertainty</title>
    <abstract language="eng">For the accuracy of inertial navigation systems for indoor localization it is important to get high quality sensor data of the multi-sensor system. This can be realized using high quality sensors or the developed 3D-self-calibration-method for low cost sensors. Based on the calibration procedure of the accelerometer (ACC) and the magnetic field sensor (MAG), the additional integration of the gyroscope (GYRO) leads to a reduction of the indoor positioning error. This improves both the approximation for the accelerometer, the magnetic field sensor and the gyroscope so that the standard deviation of a single sensor is minimized. There are errors in the whole system. To determine these error sources it is important to define the measurement uncertainty. In this paper it is presented that the measurement uncertainty can be reduced by the application of the developed 3D-self-calibration method.</abstract>
    <parentTitle language="eng">Progress in location - based services 2014</parentTitle>
    <identifier type="old">35496</identifier>
    <identifier type="isbn">978-3-319-11878-9</identifier>
    <identifier type="issn">1863-2246</identifier>
    <identifier type="doi">10.1007/978-3-319-11879-6_8</identifier>
    <note>Geburtsname von Köppe, Tabea: Wilk, T. -  Birth name of Köppe, Tabea: Wilk, T.</note>
    <note>Serientitel: Lecture Notes in Geoinformation and Cartography (LNG&amp;C) – Series title: Lecture Notes in Geoinformation and Cartography (LNG&amp;C)</note>
    <enrichment key="eventName">11th International Symposium on Location Based Services</enrichment>
    <enrichment key="eventPlace">Vienna, Austria</enrichment>
    <enrichment key="eventStart">26.11. 2014</enrichment>
    <enrichment key="eventEnd">28.11.2014</enrichment>
    <enrichment key="date_peer_review">13.09.2016</enrichment>
    <author>Enrico Köppe</author>
    <author>D. Augustin</author>
    <author>Tabea Köppe</author>
    <author>Andreas Subaric-Leitis</author>
    <author>A. Liers</author>
    <author>J. Schiller</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D sensor</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>3D calibration method</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Indoor localization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Measurement uncertainty</value>
    </subject>
    <collection role="literaturgattung" number="">Verlagsliteratur</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
  </doc>
</export-example>
